The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

AI method accelerates liquid simulations by learning fundamental physical relationships

Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...
The Economist

Robots with human-inspired eyes have better vision

Many robots are equipped with cameras to allow them to see the world. These digital eyes record sequences of still images ...

Majorana qubits become readable as quantum capacitance detects even-odd states

The race to build reliable quantum computers is fraught with obstacles, and one of the most difficult to overcome is related ...
Scientific Research Publishing

A Foundational Protocol for Reproducible Visualization in Multivariate Quantum Data ()

Cristani, C. and Tessera, D. (2026) A Foundational Protocol for Reproducible Visualization in Multivariate Quantum Data. Open Access Library Journal, 13, 1-13. doi: 10.4236/oalib.1114704 .
IEEE

Optimization of Airline Scheduling Using Reinforcement Learning with PPO Algorithm

Abstract: The Airline Scheduling Problem (ASP) has significant economic and operational value in air trans portation management. However, its complexity and dynamics make traditional mixed integer ...
IEEE

Efficient Machine Learning-Based Semantic Segmentation Algorithm for Consumer-Grade AAV Remote Sensing

Abstract: The computational complexity of the Transformer model grows quadratically with input sequence length. This causes a sharp increase in computational cost and memory consumption for ...